Type of data and hypothesis test to run

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    Hi all.
    Currently looking at a process where the output metric is “finish time”, which is continuous.  One of the factors under consideration is a possible resend loop within the process.  First cut of data is showing that c.20% of runs require a resend, and some multiple resends.
    Plan to run a t-test or Kruskal Wallis to determine if there is a difference in finish time between those runs which require a resend and those that don’t.
    However, I also have data on- if multiple resends were required- how many were required.  Recorded figures for this have so far been 2, 3 or 4 and this is the data I need advice on.  Specifically:
    – Can this X of no of resends be termed continuous data?  If not, what is it? 
    – Is a correlation regression test therefore appropriate? If not, what would be?
    Many thanks,

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